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- aggregation classification "P1".
- aggregation creator B95994.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 3377905.bibtex.
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- aggregation isPartOf urn:isbn:9781467324205.
- aggregation isPartOf urn:issn:1553-572X.
- aggregation language "eng".
- aggregation publisher "IEEE".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Inductance-based position self-sensing of a Brushless DC-machine using high-frequency signal injection".
- aggregation abstract "Inductance-based self-sensing methods allow to estimate the rotor position by tracking the magnetic anisotropy linked to the rotor. The inductance can be quickly estimated by measuring the response on the injection of high-frequency signals in addition to the signals of normal-operating control. Compared to more conventional permanent-magnet synchronous machines, driving a low-inductance brushless DC-machine presents some issues that must be taken into account: significant inverter nonlinearities, impact of the stator resistance on the inductance estimation, important harmonic content in the magnetic field that leads to errors in the rotor-position estimation. In this paper, we propose a signal-injection solution that removes the stator-resistance impact. A solution to the inverter nonlinearities is also discussed. Experimental results demonstrate the robustness of the control scheme at low and higher speeds.".
- aggregation authorList BK247129.
- aggregation endPage "3667".
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